Dashboard Summary

• Ridge Regression achieved the best predictive performance, producing a slightly lower RMSE than Linear Regression.
• Key predictors driving sale prices include square footage (Gr Liv Area), overall functionality (Functional_Sal), and squared living area, all showing strong, interpretable influence in the coefficient importance chart.
• The Learning Curve indicates stable model behavior: Training RMSE decreases quickly with additional data, while validation RMSE levels off, suggesting the model is neither overfitting nor underfitting and benefits moderately from larger sample sizes.
• Predicted vs. Actual values follow the 45-degree line closely, showing strong generalization and low systematic error.
• Residuals are tightly centered around zero with limited spread, indicating minimal bias and well-distributed model errors.